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Journal articles on the topic 'Facet extraction'

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1

Komamizu, Takahiro, Toshiyuki Amagasa, and Hiroyuki Kitagawa. "Facet-value extraction scheme from textual contents in XML data." International Journal of Web Information Systems 11, no. 3 (2015): 270–90. http://dx.doi.org/10.1108/ijwis-04-2015-0012.

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Purpose – The purpose of this paper is to extract appropriate terms to summarize the current results in terms of the contents of textual facets. Faceted search on XML data helps users find necessary information from XML data by giving attribute–content pairs (called facet-value pair) about the current search results. However, if most of the contents of a facet have longer texts in average (such facets are called textual facets), it is not easy to overview the current results. Design/methodology/approach – The proposed approach is based upon subsumption relationships of terms among the contents
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Wei, Xiao, Chenglei Qin, and Zheng Xu. "Building the Multidimensional Semantic Index of Webpages for Facet Extraction." International Journal of Cognitive Informatics and Natural Intelligence 9, no. 2 (2015): 1–23. http://dx.doi.org/10.4018/ijcini.2015040101.

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Faceted search is an efficient search method to use the big data and one of its key issues is to extract facets from unstructured webpages automatically. It is still a problem to extract facets from massive unstructured webpages exactly and automatically. To solve the problem, this paper first proposed a novel index structure of webpages, the Multidimensional Semantic Index (MDSI), which holds rich semantics and are helpful to extract facets. In MDSI, the differently dimensional semantic indexes are bridged by mining the semantic mapping between them. Then, an automatic facet extraction method
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Peng, Yu Hui, and Cheng Hui Gao. "A Novel Boundary Extraction Algorithm on Triangular Meshes of STL Model." Advanced Materials Research 97-101 (March 2010): 2929–34. http://dx.doi.org/10.4028/www.scientific.net/amr.97-101.2929.

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The generation of boundaries from the triangular meshes of CAD object is very important for successful surface segmentation and subdivision. Considering the characteristics of non-uniformity, sparseness and known facet normal for STL model, which is generated by a CAD system, a new and efficient approach for extracting boundaries on STL model is presented in this paper. Boundaries are classified into sharp feature edge and non-sharp feature edge embedded in the filleting and transitive region. The former is detected based on dihedral edge angle (angle between facets), while the latter is ident
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Wang, Wenjian. "Computed-tomography-based precision inspection and shape extraction using facet model." Optical Engineering 39, no. 1 (2000): 114. http://dx.doi.org/10.1117/1.602343.

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Lin, Yangbin, Cheng Wang, Bili Chen, Dawei Zai, and Jonathan Li. "Facet Segmentation-Based Line Segment Extraction for Large-Scale Point Clouds." IEEE Transactions on Geoscience and Remote Sensing 55, no. 9 (2017): 4839–54. http://dx.doi.org/10.1109/tgrs.2016.2639025.

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Chen, Ying, Honglong Zhan, Yingjun Qiao, et al. "Facet dependent ion channel of iron phosphate for electrochemical lithium extraction." Chemical Engineering Journal 477 (December 2023): 147136. http://dx.doi.org/10.1016/j.cej.2023.147136.

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Dulău, Marius, and Florin Oniga. "Obstacle Detection Using a Facet-Based Representation from 3-D LiDAR Measurements." Sensors 21, no. 20 (2021): 6861. http://dx.doi.org/10.3390/s21206861.

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In this paper, we propose an obstacle detection approach that uses a facet-based obstacle representation. The approach has three main steps: ground point detection, clustering of obstacle points, and facet extraction. Measurements from a 64-layer LiDAR are used as input. First, ground points are detected and eliminated in order to select obstacle points and create object instances. To determine the objects, obstacle points are grouped using a channel-based clustering approach. For each object instance, its contour is extracted and, using an RANSAC-based approach, the obstacle facets are select
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Foks, Nathan Leon, and Yaoguo Li. "Automatic boundary extraction from magnetic field data using triangular meshes." GEOPHYSICS 81, no. 3 (2016): J47—J60. http://dx.doi.org/10.1190/geo2015-0112.1.

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Boundary extraction is a collective term that we use for the process of extracting the locations of faults, lineaments, and lateral boundaries between geologic units using geophysical observations, such as measurements of the magnetic field. The process typically begins with a preprocessing stage, where the data are transformed to enhance the visual clarity of pertinent features and hence improve the interpretability of the data. The majority of the existing methods are based on raster grid enhancement techniques, and the boundaries are extracted as a series of points or line segments. In cont
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9

Yang, Deheng, Yadong Li, Xinyi Liu, et al. "Facet-specific interaction between methanol and TiO2 probed by sum-frequency vibrational spectroscopy." Proceedings of the National Academy of Sciences 115, no. 17 (2018): E3888—E3894. http://dx.doi.org/10.1073/pnas.1802741115.

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The facet-specific interaction between molecules and crystalline catalysts, such as titanium dioxides (TiO2), has attracted much attention due to possible facet-dependent reactivity. Using surface-sensitive sum-frequency vibrational spectroscopy, we have studied how methanol interacts with different common facets of crystalline TiO2, including rutile(110), (001), (100), and anatase(101), under ambient temperature and pressure. We found that methanol adsorbs predominantly in the molecular form on all of the four surfaces, while spontaneous dissociation into methoxy occurs preferentially when th
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Di Giacomo, Giovanni de Almeida Prado, Amanda Magalhães, and Sergio Ajzen. "Immediate esthetic crown with a facet of the extracted element." European Journal of Dentistry 08, no. 03 (2014): 412–15. http://dx.doi.org/10.4103/1305-7456.137658.

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ABSTRACTThe present report describes a case of implant loading with an immediate temporary crown. The buccal crown surface was removed from the extracted tooth to obtain an aesthetically satisfactory result. After periodontal treatment, tooth 21 appeared proclined and showed Grade 3 mobility, indicating the need for its extraction. The remaining bone was imaged using computed tomography, and virtual surgical planning was performed using these results. The implant was immediately loaded postextraction into the fresh alveolus without a graft and flap procedure. The temporary tooth, which was man
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11

Nagendran, Sharan Kumar, Mohd Ashraf Mohamad Ismail, and Yan Tung Wen. "Photogrammetry approach on geological plane extraction using CloudCompare FACET plugin and scanline survey." Bulletin of the Geological Society of Malaysia 68 (December 31, 2019): 151–58. http://dx.doi.org/10.7186/bgsm68201916.

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12

Sano, Hikomaro. "Extraction of facet terms from article titles and their display in tabular form." Journal of Information Science 17, no. 1 (1991): 43–48. http://dx.doi.org/10.1177/016555159101700105.

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13

Arshad, Tahir, Junping Zhang, Inam Ullah, Yazeed Yasin Ghadi, Osama Alfarraj, and Amr Gafar. "Multiscale Feature-Learning with a Unified Model for Hyperspectral Image Classification." Sensors 23, no. 17 (2023): 7628. http://dx.doi.org/10.3390/s23177628.

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In the realm of hyperspectral image classification, the pursuit of heightened accuracy and comprehensive feature extraction has led to the formulation of an advance architectural paradigm. This study proposed a model encapsulated within the framework of a unified model, which synergistically leverages the capabilities of three distinct branches: the swin transformer, convolutional neural network, and encoder–decoder. The main objective was to facilitate multiscale feature learning, a pivotal facet in hyperspectral image classification, with each branch specializing in unique facets of multisca
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Yang, Jun, Quanxi Zhu, Taiping Xie, et al. "Insights into Interface Charge Extraction in a Noble-Metal-Free Doped Z-Scheme NiO@BiOCl Heterojunction." Catalysts 10, no. 9 (2020): 958. http://dx.doi.org/10.3390/catal10090958.

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It is of great significance to thoroughly explore the interface charge extraction and migration in heterojunction systems, which could guide us to synthesize higher-efficiency photocatalytic materials. A novel noble-metal-free doped Z-scheme NiO@BiOCl heterojunction was found in this work. The corresponding heterostructure, interface electron extraction, and electron migration were investigated via first-principles calculation. 5,5′-dimethyl-1-pyrroline-N-oxide (DMPO) spin-trapping electron spin resonance (ESR) and time-resolved photoluminescence (TRPL) tests were implemented to confirm the ca
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15

Bi, Bi, Li Zeng, and Haina Jiang. "A novel method for 3D crack edge extraction in CT volume data." Journal of X-Ray Science and Technology: Clinical Applications of Diagnosis and Therapeutics 19, no. 4 (2011): 429–42. http://dx.doi.org/10.3233/xst-2011-030500305.

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To reduce time cost and improve the performance of edge extraction in CT volume data which is often in large size, we propose a novel method of 3D crack edge extraction using two fusion steps, one is fusion on Finite Line Integral Transform (FLIT) values in spatial directions called SD-FLIT and another is fusion on Local Binary Pattern (LBP) values on spatial planes called SP-LBP. By analyzing the S function of LBP operator, we find that value "0" of this function can describe the change between two equivalence planes. However, this property is sensitive to point difference, thus SD-FLIT is in
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Kussul, Ernst, Tetyana Baydyk, Alberto Escalante Estrada, Maria Teresa Rodríguez González, and Donald Wunsch II. "Solar concentrators manufacture and automation." Open Physics 17, no. 1 (2019): 93–103. http://dx.doi.org/10.1515/phys-2019-0011.

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Abstract Solar energy is one of the most promising types of renewable energy. Flat facet solar concentrators were proposed to decrease the cost of materials needed for production. They used small flat mirrors for approximation of parabolic dish surface. The first prototype of flat facet solar concentrators was made in Australia in 1982. Later various prototypes of flat facet solar concentrators were proposed. It was shown that the cost of materials for these prototypes is much lower than the material cost of conventional parabolic dish solar concentrators. To obtain the overall low cost of fla
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17

Zadgaonkar, A. V., A. J. Agrawal, and S. Aote. "Facets extraction-based approach for query recommendation using data mining approach." International Journal of Engineering & Technology 7, no. 1 (2018): 121. http://dx.doi.org/10.14419/ijet.v7i1.8944.

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Search engines are popularly utilized for extracting desired information from World Wide Web by users. Efficiency of these search engines are dependent on how fast search results can be retrieved and whether these results reflects the desired info or not. For a particular query, vast amount of relevant information is scattered across the multiple web pages. Search engines generate multiple web links as a output. It has been a jigsaw puzzle for users to identify and select relevant links to extract further desired information. To address this issue, we are proposing an approach for Query Recomm
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18

Yunita, Ariana, Harry Budi Santoso, and Zainal A. Hasibuan. "Finding Contributing Factors of Students’ Academic Achievement Using Quantitative and Qualitative Analyses-Based Information Extraction." International Journal of Emerging Technologies in Learning (iJET) 17, no. 16 (2022): 108–25. http://dx.doi.org/10.3991/ijet.v17i16.31945.

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Big data learning analytics is still in its infancy and has been developed on several campuses worldwide. Ideally, all students' profiles should be described and embraced to optimize the development of any proposed system related to big data learning analytics. This paper aims to extract information related to factors contributing to students’ academic achievement using quantitative and qualitative approach, in which co-occurrence analysis were applied for quantitative approach and facet analysis for the qualitative approach. For data collection, Kitchenham’s technique were used to select and
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19

Morrison, G. B., D. T. Cassidy, and D. M. Bruce. "Facet phases and sub-threshold spectra of DFB lasers: spectral extraction, features, explanations and verification." IEEE Journal of Quantum Electronics 37, no. 6 (2001): 762–69. http://dx.doi.org/10.1109/3.922773.

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20

Liu, Yang Chuan, Xin Gao, Chuan Xu, et al. "A Sub-Pixel Extraction Method for the Center of the Circular Structure from Spot Array Calibration Target." Applied Mechanics and Materials 236-237 (November 2012): 1090–94. http://dx.doi.org/10.4028/www.scientific.net/amm.236-237.1090.

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The imaging measurement system must be calibrated before application. In calibration procedure, sub-pixel center extraction is the crucial step for the final accuracy. In this paper, a new sub-pixel extraction method is proposed. Edge detection at pixel level is obtained using LOG operator, then sub-pixel edge detection is realized using the Facet model. Finally, the least squares ellipse fitting is operated on the sub-pixel edge to determine the sub-pixel center. Experiment on a series of simulated images indicates that this algorithm is able to realize the center location accuracy of 0.01-0.
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21

Li, Zongjian, Li Zeng, Xiaobing Zou, and Caibing Xiang. "Crack surface extraction of industrial CT volume data using FPIT and planelet." Journal of X-Ray Science and Technology: Clinical Applications of Diagnosis and Therapeutics 19, no. 1 (2011): 1–12. http://dx.doi.org/10.3233/xst-2010-027500275.

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As an advanced nondestructive testing (NDT) technology, industrial computed tomography (ICT) has been widely applied to diversified areas. In modern industry, ICT is especially useful for analyzing inner defects of complex and close work pieces. The common defects of work pieces include gas cavities, slag inclusions, cracks and shrinking cavities. Only cracks are often caused by fatigue usage. Precisely extracting a crack is important to estimate the remaining secure service time of the work piece. This paper presents a crack surface extraction method of ICT volume data based on finite plane i
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22

Dewez, T. J. B., D. Girardeau-Montaut, C. Allanic, and J. Rohmer. "FACETS : A CLOUDCOMPARE PLUGIN TO EXTRACT GEOLOGICAL PLANES FROM UNSTRUCTURED 3D POINT CLOUDS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B5 (June 16, 2016): 799–804. http://dx.doi.org/10.5194/isprs-archives-xli-b5-799-2016.

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Geological planar facets (stratification, fault, joint…) are key features to unravel the tectonic history of rock outcrop or appreciate the stability of a hazardous rock cliff. Measuring their spatial attitude (dip and strike) is generally performed by hand with a compass/clinometer, which is time consuming, requires some degree of censoring (i.e. refusing to measure some features judged unimportant at the time), is not always possible for fractures higher up on the outcrop and is somewhat hazardous. 3D virtual geological outcrop hold the potential to alleviate these issues. Efficiently segmen
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Dewez, T. J. B., D. Girardeau-Montaut, C. Allanic, and J. Rohmer. "FACETS : A CLOUDCOMPARE PLUGIN TO EXTRACT GEOLOGICAL PLANES FROM UNSTRUCTURED 3D POINT CLOUDS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B5 (June 16, 2016): 799–804. http://dx.doi.org/10.5194/isprsarchives-xli-b5-799-2016.

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Geological planar facets (stratification, fault, joint…) are key features to unravel the tectonic history of rock outcrop or appreciate the stability of a hazardous rock cliff. Measuring their spatial attitude (dip and strike) is generally performed by hand with a compass/clinometer, which is time consuming, requires some degree of censoring (i.e. refusing to measure some features judged unimportant at the time), is not always possible for fractures higher up on the outcrop and is somewhat hazardous. 3D virtual geological outcrop hold the potential to alleviate these issues. Efficiently segmen
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24

Manchikanti, Laxmaiah. "Do Regenerative Medicine Therapies Provide Long-Term Relief in Chronic Low Back Pain: A Systematic Review and Metaanalysis." January 2018 1, no. 21;1 (2018): 515–40. http://dx.doi.org/10.36076/ppj.2018.6.515.

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Background: Several cell-based therapies have been proposed in recent years the management of low back pain, including the injection of medicinal signaling cells or mesenchymal stem cells (MSCs) and platelet-rich plasma (PRP). However, there is only emerging clinical evidence to support their use at this time. Purpose: To assess the effectiveness of MSCs or PRP injections in the treatment of low back and lower extremity pain. Study Design: A systematic review and metaanalysis of the effectiveness of PRP and MSCs injections in managing low back and lower extremity pain. Data Sources: PubMed, Co
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Duan, Anran, Huali Qiao, Miao He, et al. "Growth of lithium iron silicates nanoplates with high energy facets via polymorphs transition for ehanced lithium-ion extraction/insertion reaction." Functional Materials Letters 14, no. 04 (2021): 2151015. http://dx.doi.org/10.1142/s1793604721510152.

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The anisotropic functionalities of nanostructured silicates are highly attractive for various applications, whereas the silicates’ nanostructure heavily relies on the reactions in low temperature liquid conditions. Due to the stubborn [SiO4][Formula: see text] lattice foundation and most surfactants’ thermal instability, it is extremely difficult to manipulate the nanostructure and preserve high energy lattice facets in the high temperature solid state growth of silicates. In this report, the polymorphs transition of Li2FeSiO4 is found to open a precious window for adsorbate–crystal interactio
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Tung, Wen Yan, Sharan Kumar Nagendran, and Mohd Ashraf Mohamad Ismail. "3D rock slope data acquisition by photogrammetry approach and extraction of geological planes using FACET plugin in CloudCompare." IOP Conference Series: Earth and Environmental Science 169 (July 31, 2018): 012051. http://dx.doi.org/10.1088/1755-1315/169/1/012051.

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27

Lyakh, A., R. Maulini, A. Tsekoun, et al. "3 W continuous-wave room temperature single-facet emission from quantum cascade lasers based on nonresonant extraction design approach." Applied Physics Letters 95, no. 14 (2009): 141113. http://dx.doi.org/10.1063/1.3238263.

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28

Ventura Bariani, João Gabriel, Mário Augusto Silva Pereira, Jailson Barro Silveira, et al. "Spinal Arthroplasty Versus Fusion in Degenerative Spine Pathologies: A Systematic Evaluation of Clinical and Functional Efficacy." International Journal of Advanced Multidisciplinary Research and Studies 5, no. 3 (2025): 1279–85. https://doi.org/10.62225/2583049x.2025.5.3.4443.

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Objective The primary objective of this systematic review was to evaluate the clinical and functional outcomes of spinal arthroplasty techniques, including total disc arthroplasty (TDA) and facet joint arthroplasty, in comparison to conventional spinal fusion procedures. The review also aimed to characterize the epidemiological profile of patients undergoing motion-preserving surgeries and describe the effectiveness, safety, and biomechanical implications of these surgical approaches. Methods This review was conducted in accordance with PRISMA 2020 guidelines. A comprehensive literature search
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Ogenyi, Fabian Chukwudi, Henry Arinaitwe, Zubairi Bagheni, and Mohammed Dahiru Buhari. "A review of signal processing techniques for electrocardiogram (ECG) signals." KIU journal of science engineering and technology 3, no. 1 (2024): 127–34. http://dx.doi.org/10.59568/kjset-2024-3-1-13.

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The accurate diagnosis of cardiovascular conditions relies heavily on Electrocardiogram (ECG) signals, yet persistent interference challenges, including baseline wander, powerline interference, and muscle artifacts, compromise clinical accuracy. This study comprehensively explores cutting-edge preprocessing techniques aimed at addressing multifaceted challenges in ECG signal processing. Investigating noise removal, baseline correction, feature extraction, arrhythmia detection, and heart rate variability (HRV) analysis, we synthesize insights from recent research to provide a thorough understan
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D. Suma, Mrs. "AI Generated Image Detection Using Neural Networks." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 03 (2024): 1–11. http://dx.doi.org/10.55041/ijsrem29037.

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This abstract introduces a breakthrough in image detection using Convolutional Neural Networks (CNNs). Renowned for their ability to recognize local features, share weights, and employ pooling mechanisms, CNNs form the foundation of this innovative approach. The study presents a novel method that harnesses CNNs' inherent strengths to elevate image detection. Central to this method is the incorporation of a specialized module called "ShortCut3- ResNet," inspired by the Residual Network (ResNet) concept. This module enhances the network's capacity to capture intricate image details, thereby faci
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Kumar, Sundaram, Sam Agarwal, and Keyna O'Reilly. "In Situ Al3Nb Formation in Liquid Al by Nb Particle Addition." Materials Science Forum 790-791 (May 2014): 515. http://dx.doi.org/10.4028/www.scientific.net/msf.790-791.515.

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Master alloys are used in the metals industry to control chemical composition and to help to achieve a particular microstructure or promote growth of desired phases. This study reports on making a Al3Nb containing aluminium (Al) - niobium (Nb) master alloy by solid-liquid reaction processing, where solid Nb particles are added to the liquid Al. Nb react with Al to form in-situ Al3Nb. The in-situ formed Al3Nb particles were facet and polygonal in shape. The three dimensional analysis revealed that the outer surface of the partially reacted Nb was covered with faceted Al3Nb particles. The differ
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Kumar, Sundaram, Sam Agarwal, and Keyna O'Reilly. "In Situ Al3Nb Formation in Liquid Al by Nb Particle Addition." Materials Science Forum 812 (February 2015): 131–36. http://dx.doi.org/10.4028/www.scientific.net/msf.812.131.

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Master alloys are used in the metals industry to control chemical composition and to help to achieve a particular microstructure or promote growth of desired phases. This study reports on making a Al3Nb containing aluminium (Al) - niobium (Nb) master alloy by solid-liquid reaction processing, where solid Nb particles are added to the liquid Al. Nb react with Al to form in-situ Al3Nb. The in-situ formed Al3Nb particles were facet and polygonal in shape. The three dimensional analysis revealed that the outer surface of the partially reacted Nb was covered with faceted Al3Nb particles. The differ
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33

Gomes Rickardo and Rodrigues da Paz Giovanni. "Marble workshop of the future: Technology, innovation, and sustainability." World Journal of Advanced Research and Reviews 19, no. 3 (2023): 1090–98. http://dx.doi.org/10.30574/wjarr.2023.19.3.1957.

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In the future, the field of stonemasonry is poised to undergo a transformation driven by technology and innovation. Automation and artificial intelligence will play a pivotal role in enhancing the processes of rock extraction and refinement. Furthermore, a robust commitment to sustainability will be a key facet, encompassing the pursuit of more responsible extraction techniques, recycling of waste materials, and adoption of clean energy sources. This evolution is set to render the industry more efficient, ecologically conscientious, and in alignment with the demands of an environmentally consc
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Gomes, Rickardo, and da Paz Giovanni Rodrigues. "Marble workshop of the future: Technology, innovation, and sustainability." World Journal of Advanced Research and Reviews 19, no. 3 (2023): 1090–98. https://doi.org/10.5281/zenodo.11843710.

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In the future, the field of stonemasonry is poised to undergo a transformation driven by technology and innovation. Automation and artificial intelligence will play a pivotal role in enhancing the processes of rock extraction and refinement. Furthermore, a robust commitment to sustainability will be a key facet, encompassing the pursuit of more responsible extraction techniques, recycling of waste materials, and adoption of clean energy sources. This evolution is set to render the industry more efficient, ecologically conscientious, and in alignment with the demands of an environmentally consc
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35

Lee, Jaehyeong, Yourim Yoon, Jiyoun Kim, and Yong-Hyuk Kim. "Metaheuristic-Based Feature Selection Methods for Diagnosing Sarcopenia with Machine Learning Algorithms." Biomimetics 9, no. 3 (2024): 179. http://dx.doi.org/10.3390/biomimetics9030179.

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This study explores the efficacy of metaheuristic-based feature selection in improving machine learning performance for diagnosing sarcopenia. Extraction and utilization of features significantly impacting diagnosis efficacy emerge as a critical facet when applying machine learning for sarcopenia diagnosis. Using data from the 8th Korean Longitudinal Study on Aging (KLoSA), this study examines harmony search (HS) and the genetic algorithm (GA) for feature selection. Evaluation of the resulting feature set involves a decision tree, a random forest, a support vector machine, and naïve bayes algo
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Zhou, Zibo, Zhihui Wang, Binbin Wang, Saiqiang Xia, and Jianwei Liu. "Clutter Suppression and Rotor Blade Feature Extraction of a Helicopter Based on Time–Frequency Flash Shifts in a Passive Bistatic Radar." Atmosphere 13, no. 8 (2022): 1214. http://dx.doi.org/10.3390/atmos13081214.

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This paper presents a passive bistatic radar (PBR) configuration using a global navigation satellite system as an illuminator of opportunity for the rotor blade feature extraction of a helicopter. Aiming at the strong fixed clutter in the surveillance channel of the PBR, a novel iteration clutter elimination method-based singular-value decomposition approach is proposed. Instead of the range elimination method used in the classic extended cancellation algorithm, the proposed clutter elimination method distinguishes the clutter using the largest singular value and by remove this value. At the s
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Li, L., L. Pang, X. D. Zhang, and H. Liu. "THE RESEARCH ON ACCURACY EVALUATION METHOD OF THE TOMOGRAPHIC SAR THREE-DIMENSIONAL RECONSTRUCTION OF URBAN BUILDING BASED ON TERRESTRIAL LIDAR POINT CLOUD." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W7 (September 13, 2017): 617–21. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w7-617-2017.

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Muti-baseLine SAR tomography can be used on 3D reconstruction of urban building based on SAR images acquired. In the near future, it is expected to become an important technical tool for urban multi-dimensional precision monitoring. For the moment,There is no effective method to verify the accuracy of tomographic SAR 3D point cloud of urban buildings. In this paper, a new method based on terrestrial Lidar 3D point cloud data to verify the accuracy of the tomographic SAR 3D point cloud data is proposed, 3D point cloud of two can be segmented into different facadeds. Then facet boundary extracti
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Shang, Xiangjun, Shulun Li, Hanqing Liu, et al. "Single- and Twin-Photons Emitted from Fiber-Coupled Quantum Dots in a Distributed Bragg Reflector Cavity." Nanomaterials 12, no. 7 (2022): 1219. http://dx.doi.org/10.3390/nano12071219.

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In this work, we develop single-mode fiber devices of an InAs/GaAs quantum dot (QD) by bonding a fiber array with large smooth facet, small core, and small numerical aperture to QDs in a distributed Bragg reflector planar cavity with vertical light extraction that prove mode overlap and efficient output for plug-and-play stable use and extensive study. Modulated Si doping as electron reservoir builds electric field and level tunnel coupling to reduce fine-structure splitting (FSS) and populate dominant XX and higher excitons XX+ and XXX. Epoxy package thermal stress induces light hole (lh) wit
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Patil, Aniruddha V., and Pankaj Rabha. "A survey on joint object detection and pose estimation using monocular vision." MATEC Web of Conferences 277 (2019): 02029. http://dx.doi.org/10.1051/matecconf/201927702029.

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In this survey we present a complete landscape of joint object detection and pose estimation methods that use monocular vision. Descriptions of traditional approaches that involve descriptors or models and various estimation methods have been provided. These descriptors or models include chordiograms, shape-aware deformable parts model, bag of boundaries, distance transform templates, natural 3D markers and facet features whereas the estimation methods include iterative clustering estimation, probabilistic networks and iterative genetic matching. Hybrid approaches that use handcrafted feature
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Al-Tamimi, Abdel-Karim, Asseel Qasaimeh, and Kefaya Qaddoum. "Offline signature recognition system using oriented FAST and rotated BRIEF." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 5 (2021): 4095. http://dx.doi.org/10.11591/ijece.v11i5.pp4095-4103.

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Despite recent developments in offline signature recognition systems, there is however limited focus on the recognition problem facet of using an inadequate sample size for training that could deliver reliable and easy to use authentication systems. Signature recognition systems are one of the most popular biometric authentication systems. They are regarded as non-invasive, socially accepted, and adequately precise. Research on offline signature recognition systems still has not shown competent results when a limited number of signatures are used. This paper describes our proposed practical of
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Gantimurova, Svetlana, and Alexander Parshin. "Combined Methodology for Rockfall Susceptibility Mapping Using UAV Imagery Data." Remote Sensing 16, no. 1 (2023): 177. http://dx.doi.org/10.3390/rs16010177.

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Gravitational processes on cut slopes located close to infrastructure are a high concern in mountainous regions. There are many techniques for survey, assessment, and prognosis of hazardous exogenous geological processes. The given research describes using UAV data and GIS morphometric analysis for delineation of hazardous rockfall zones and 3D modelling to obtain an enhanced, detailed evaluation of slope characteristics. Besides the slope geomorphometric data, we integrated discontinuity layers, including rock plains orientation and fracture network density. Cloud Compare software 2.12 was ut
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Abdel-Karim, Al-Tamimi, Qasaimeh Asseel, and Qaddoum Kefaya. "Offline signature recognition system using oriented FAST and rotated BRIEF." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 5 (2021): 4095–103. https://doi.org/10.11591/ijece.v11i5.pp4095-4103.

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Despite recent developments in offline signature recognition systems, there is however limited focus on the recognition problem facet of using an inadequate sample size for training that could deliver reliable and easy to use authentication systems. Signature recognition systems are one of the most popular biometric authentication systems. They are regarded as non-invasive, socially accepted, and adequately precise. Research on offline signature recognition systems still has not shown competent results when a limited number of signatures are used. This paper describes our proposed practical of
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Sharma, Drishti, and Abhishek Srivastava. "Detecting rumors in social media using emotion based deep learning approach." PeerJ Computer Science 10 (September 20, 2024): e2202. http://dx.doi.org/10.7717/peerj-cs.2202.

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Social media, an undeniable facet of the modern era, has become a primary pathway for disseminating information. Unverified and potentially harmful rumors can have detrimental effects on both society and individuals. Owing to the plethora of content generated, it is essential to assess its alignment with factual accuracy and determine its veracity. Previous research has explored various approaches, including feature engineering and deep learning techniques, that leverage propagation theory to identify rumors. In our study, we place significant importance on examining the emotional and sentimen
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Mariz, João, Catarina Guise, Teresa Luísa Silva, Lúcia Rodrigues, and Carla Joana Silva. "Hemp: From Field to Fiber—A Review." Textiles 4, no. 2 (2024): 165–83. http://dx.doi.org/10.3390/textiles4020011.

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Hemp fibers derived from Cannabis sativa L. have experienced a resurgence in popularity over the past few decades, establishing themselves as one of the most sought-after fibers. This article delves into the intricacies of the hemp production chain, offering a comprehensive understanding from field to fiber. Key aspects covered include the botany of hemp, cultivation requirements, the impact of various factors on plant growth, the harvesting process, different methods of fiber extraction, fibers properties, and suitable spinning processes. Recent studies of hemp’s Life Cycle Assessment are exp
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Abhishek Srivastava. "Transformative Data Management Technique: Redefining Artificial Intelligence (AI)." Management Insight 19, no. 01 (2023): 59–70. http://dx.doi.org/10.21844/mijia.19.1.6.

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This abstract provides an overview of the evolving landscape of data management, driven by the transformative influence of artificialintelligence (AI). This exploration delves into how AI technologies are reshaping every facet of data management, from collection toanalysis, offering unprecedented efficiencies and insights. In the age of massive data proliferation, effective data management has becomea cornerstone of organizational success. AI algorithms are revolutionizing data integration by automating the harmonization of diversedata sources, transcending the limitations of structured and un
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Halley, Samuel L., Paul Marshall, and Jason C. Siegler. "Effect of ischemic preconditioning and changing inspired O2 fractions on neuromuscular function during intense exercise." Journal of Applied Physiology 127, no. 6 (2019): 1688–97. http://dx.doi.org/10.1152/japplphysiol.00539.2019.

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The aim of the present study was to determine whether ischemic preconditioning (IPC)-mediated effects on neuromuscular function are dependent on tissue oxygenation. Eleven resistance-trained males completed four exercise trials (6 sets of 11 repetitions of maximal effort dynamic single-leg extensions) in either normoxic [fraction of inspired oxygen ([Formula: see text]): 21%) or hypoxic [Formula: see text]: 14%] conditions, preceded by treatments of either IPC (3 × 5 min bilateral leg occlusions at 220 mmHg) or sham (3 × 5 min at 20 mmHg). Femoral nerve stimulation was utilized to assess volun
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Prasad Chaudhari. "Deep Learning-Based Cotton Plant Disease Detection Using CNNs: A Smart Agriculture Approach." Journal of Information Systems Engineering and Management 10, no. 22s (2025): 754–65. https://doi.org/10.52783/jisem.v10i22s.3618.

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The increasing prevalence of plant diseases poses a significant threat to global cotton production, leading to substantial economic losses and reduced crop yield. Traditional manual disease detection methods are time-consuming, labour-intensive, and often inaccurate. To address this challenge, this research proposes an advanced deep learning-based approach for automated cotton plant disease detection using Convolutional Neural Networks (CNNs). The study evaluates multiple CNN architectures, including GoogleNet, VGG16, DenseNet201, ResNet50, and TLResnet152V2, to determine their effectiveness i
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Alaa Hassan. "Predicting Sentiments of Users about Medical Treatments using Pre-trained Large Language Models." Journal of Information Systems Engineering and Management 10, no. 25s (2025): 905–14. https://doi.org/10.52783/jisem.v10i25s.4178.

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Users of social media write their opinions about products, services, market, social life, health and any facet of the life in the form of texts in web-based or mobile applications. The other users use these comments to select the best services and products. In the area of the medication, the production of user generated texts has been increased, because of information explosion and technological advancements. Manual extraction of useful knowledge using the tremendous amount of textual data is impossible. Opinion mining and Sentiment Analysis (SA) is a crucial mechanism for extracting useful kn
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Ravi, Harish Karthikeyan, Antoine Degrou, Jérôme Costil, Christophe Trespeuch, Farid Chemat, and Maryline Abert Vian. "Larvae Mediated Valorization of Industrial, Agriculture and Food Wastes: Biorefinery Concept through Bioconversion, Processes, Procedures, and Products." Processes 8, no. 7 (2020): 857. http://dx.doi.org/10.3390/pr8070857.

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Each year, the food supply chain produces more than 1.3 billion tons of food and agricultural waste, which poses serious environmental problems. The loss of the massive quantity of secondary and primary metabolites retrievable from this resource is a significant concern. What if there is a global solution that caters to the numerous problems arising due to the humongous volume of waste biomass generated in every part of the world? Insects, the tiny creatures that thrive in decaying organic matter, which can concentrate the nutrients present in dilute quantities in a variety of by-products, are
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Kamboj, Jyoti, and Eronimus A. "Mapping the green human resource management practices: A systematic scoping review and its implications for employees’ well-being." Human Systems Management 43, no. 6 (2024): 1062–81. https://doi.org/10.1177/01672533241305207.

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BACKGROUND: Human Resource Management (HRM) has emerged as a crucial facet of organizational success, particularly in balancing profitability and environmental sustainability. The growing environmental concerns are reshaping HRM, giving rise to Green Human Resource Management (GHRM) practices. However, there is a critical need to understand the evolution and impact of GHRM. OBJECTIVE: This literature review explores the role of GHRM in fostering sustainable practices, employee well-being, and engagement within organizations. It aims to provide the groundwork for future research. METHODS: This
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